Triple

T3495584
Position Surface form Disambiguated ID Type / Status
Subject OM E73841 entity
Predicate associatedAct P37 FINISHED
Object Sleep E249779 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sleep | Statement: [OM, associatedAct, Sleep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sleep
Context triple: [OM, associatedAct, Sleep]
  • A. Sleep chosen
    Sleep is a naturally recurring state of rest in which consciousness is altered and the body and brain undergo essential restorative processes.
  • B. Sleep
    Sleep is an experimental 1963 avant-garde film by Andy Warhol consisting of extended, nearly static footage of poet John Giorno sleeping.
  • C. Night and Sleep
    "Night and Sleep" is a symbolist painting by British artist Evelyn De Morgan that allegorically personifies the figures of Night and Sleep in a richly colored, mystical composition.
  • D. Insomnia
    Insomnia is a 2002 psychological thriller film directed by Christopher Nolan, following a sleep-deprived detective investigating a murder in an Alaskan town where the sun never sets.
  • E. Insomnia
    Insomnia is a horror-fantasy novel by Stephen King that intertwines with his larger Dark Tower universe through shared characters, themes, and metaphysical elements.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbb06fd08190b6c1fadfce4148f0 completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373cce4008190beb010b171bc4940 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:18 p.m.